Evidence map›Paper›PMID 40371673›Full record

ReviewPharmacotherapy2025

Pharmacotherapy research landscape and knowledge gaps of opioids in maternal and pediatric populations.

Aditi Shendre, Xiaofu Liu, ChienWei Chiang, Andrew Goodwin, Samuel-Richard Oteng, Jiezel A F Deypalubos, Shijun Zhang, Lei Wang, Jianing Liu, Mohammad Yaseen Abbasi and 11 more

Abstract readReview
In one paragraph

Review in Pharmacotherapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Aditi ShendreDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID 0000-0003-4123-7613
Xiaofu LiuDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
ChienWei ChiangDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID 0000-0002-0988-8478
Andrew GoodwinDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Samuel-Richard OtengDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Jiezel A F DeypalubosDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Shijun ZhangDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID 0000-0002-4780-8416
Lei WangDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Jianing LiuDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID 0009-0003-7131-7195
Mohammad Yaseen AbbasiDivision of Clinical Pharmacology, Department of Medicine, IUSM, Indianapolis, Indiana, USA.
Blessed Winston AruldhasDivision of Clinical Pharmacology, Department of Medicine, IUSM, Indianapolis, Indiana, USA.ORCID 0000-0002-2082-6454
Syed Saoud ZaidiDivision of Clinical Pharmacology, Department of Medicine, IUSM, Indianapolis, Indiana, USA.
Lindsey Marie KirkpatrickDivision of Clinical Pharmacology, Department of Medicine, IUSM, Indianapolis, Indiana, USA.ORCID 0000-0002-4689-9950
Lais Da SilvaDivision of Clinical Pharmacology, Department of Medicine, IUSM, Indianapolis, Indiana, USA.ORCID 0000-0003-3649-3292
Brian R OverholserDivision of Clinical Pharmacology, Department of Medicine, IUSM, Indianapolis, Indiana, USA.ORCID 0000-0003-3055-9916
Aislinn M O'KaneDivision of Clinical Pharmacology, Department of Medicine, IUSM, Indianapolis, Indiana, USA.
Prince J KannankerilDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-1529-9872
Stephen W PatrickDepartment of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Andrew D WieseDivision of Pharmacoepidemiology, Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-0699-4224
Sara K QuinneyDivision of Clinical Pharmacology, Department of Medicine, IUSM, Indianapolis, Indiana, USA.ORCID 0000-0002-6554-0695
Lang LiDepartment of Biomedical Informatics, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID 0000-0002-0746-1809

Funding

The Indiana University-Ohio State University Maternal and Pediatric Precision in Therapeutics Data, Model, Knowledge, and Research Coordination Center (IU-OSU MPRINT DMKRCC)P30HD106451 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI Sara K Quinney · 2021 to 2026
$24.1M
Vanderbilt Integrated Center of Excellence in Maternal and Pediatric Precision Therapeutics (VICE-MPRINT)P50HD106446 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PRINCE Joseph KANNANKERIL, Digna R Velez Edwards · 2021 to 2026
$9.7M
Indiana University Comprehensive Training in Clinical PharmacologyT32GM008425 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Zeruesenay Desta, Michael Thomas Eadon · 1992 to 2026
$7.7M
UC San Diego RAPID Faculty Development Program in Infectious DiseasesR25AI147376 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ADRIANA H TREMOULET, Joann Trejo · 2020 to 2026
$2.5M
Benzodiazepine restrictions and the prevention of overdoses and other harmsK01DA051683 · NIDA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WIESE, ANDREW DAVID · 2021 to 2024
$688k
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) P30HD106451Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) P50HD106446NIAID NIH HHS R25 AI147376NICHD NIH HHS P30 HD106451NICHD NIH HHS P50 HD106446NIDA NIH HHS K01 DA051683NIGMS NIH HHS T32 GM008425
6 · The paper itself

Abstract

The use and misuse of opioids has surged in the past decade, with nearly half of the users being female. Although opioid use is lower among pregnant women, trends mirror the general population. While pediatric exposures largely occur through prescriptions. This review presents a novel landscape analysis of pharmacology knowledge gaps in opioids in the maternal and pediatric populations. We queried PubMed for studies on 27 opioids, focusing on pharmacokinetics (PK), and pharmacoepidemiology (PE) or clinical trials (CT) in maternal and pediatric populations. English-language publications were included, and data were synthesized to identify gaps. Additionally, MarketScan claims data and United States Food and Drug Administration (FDA) drug labels were analyzed to compare scientific evidence, opioid prescriptions/orders, and FDA recommendations. Morphine, fentanyl, methadone, and buprenorphine are the most researched opioids in PK and PE/CT literature in both populations, but hydrocodone, oxycodone, and codeine are the most prescribed. Nine opioids lack FDA labels, and four of the 18 labeled drugs lack any human data. Hydrocodone, oxycodone, and codeine labels include lactation-focused PK information, with some pediatric clinical data for the latter two. Seven opioids lack PK and PE/CT studies in the maternal population, and PK research is absent for seven opioids, and PE/CT data is lacking for eight opioids in the pediatric population. PK studies often focus on labor, delivery, and lactation accompanied by neonatal data, whereas pregnancy research mainly occurs in PE studies. In pediatric populations, study types are evenly distributed among children, but PE studies focus more on adolescents. Drug concentration is the most reported parameter in PK studies, and neonatal opioid withdrawal syndrome (NOWS) is a key outcome in both PK and PE studies. NOWS is also researched more using real-world data, whereas neurodevelopmental outcomes are often captured in prospective observational studies. There is substantial disparity between the most commonly researched and prescribed opioids. In particular, the opioid pharmacology knowledge gaps are larger in pregnant women and for the highly prescribed opioids hydrocodone and oxycodone. The limited human data in FDA labels underscores the need for additional studies. Studies using real-world data can potentially help address these gaps.

Indexed as

Analgesics, OpioidChildDrug LabelingFemaleHumansOpioid-Related DisordersPharmacoepidemiologyPregnancyUnited StatesUnited States Food and Drug AdministrationAnalgesics, Opioidbiomedical literaturedrug labelingknowledge gapsmaternalopiatesopioidspediatric

Identifiers

PMID40371673
PMCPMC12149789

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.